Quantitative Analytics Manager

In this role you will be a strategic contributor on a wide variety of channel-related activities including building business cases, monitoring performance (expense vs. recoveries), implementing and testing strategies, conducting exploratory analysis, adopting and publishing performance metrics/dashboards and crafting data stories/presentations of key findings to stakeholders.

As a Quant Analytics Manager in the Collections Operations Analytics and Strategy Execution organization, you will lead end-to-end portfolio analytics for one or multiple multi-million recovery channel, creating the opportunity for advanced knowledge specialization as well as significant exposure to broader department activities.

Job Responsibilities:

• Be a subject matter expert and trusted partner to our customers to formulate quantifiable goals, generate timely insights, communicate compelling business narratives and advise on strategies with experimentation to support ongoing process/product/channel improvement
• Demonstrate strong analytical skills to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy 
• Prepare and deliver business narratives and presentations summarizing sharp insights and conclusions
• Understand drivers, underlying data and core business processes to lead strategic direction with independent and thoughtful analytics managing channel performance, addressing complex issues and generating forward looking solutions
• Collaborate across functions (data management, risk strategy and other analytics resources) to implement best practices and explore new data sources to support critical strategies
• Have the opportunity to coach and manage senior analysts through a matrix environment (dotted-line)   

Required Qualifications, Capabilities and Skills:

• Bachelor’s degree in Statistics, Economics, Econometrics, Operations Research, Mathematics, Finance (or equivalent quantitative field) with 5 plus years of applied analytical experience in complex and large data environment minimum or Masters/MBA degree with 3 plus years of applied analytical experience
• Advanced knowledge in statistics, finance, analytics and predictive modeling
• Advanced programming language (SQL, SAS, R, Python, Alteryx), relational database (Oracle/Teradata) and visualization tool (Tableau) skills to create/manage/analyze complex and large data sets 
• Monitor internal and external customer/industry trends; act as a cross-functional lead providing critical insights and communicating results effectively to non-analytical teams
• Act with sense of urgency, be proactive and result driven with strong attention to detail 
• Set high standards for self; accountable to deliver commitments on time and with high-quality
• Build strong understanding of the business, actively seek input to anticipate needs and work to meet and exceed them, provide regular reporting to stakeholders and executive leaders
• Create a vision, effectively manage multiple priorities and execute against a roadmap with a focus on results and continuous improvements 
• Well-organized, follow logical and structured approach to support complex deliverables under tight timelines while managing multiple priorities at a given time.  Proven problem-solving skills
• Effective and clear communicator with all levels of management and a variety of business partners
• Positive culture carrier with strong leadership.  Embrace a growth and learning mindset; curious and creative; collaborative, team-oriented and client-focused; motivated by business and technical challenge

Preferred Qualifications, Capabilities and Skills:

• PhD degree in a quantitative field preferred
• Deliver amidst continuous change in an agile and demanding work environment effectively optimizing delivery of business goals and return on investment
• Monitor trends and develop key partnerships to advise on the use of new approaches, technologies, etc. based on business priorities

This role is not eligible for visa sponsorship.  

Schedule: Monday thru Friday 8:00am to 5:00pm

Depending on the location, the position follows a 5-day a week in office schedule or is a temporary hybrid position requiring work on site at least 2 days a week but turning 5-days a week in office by the end of 2027.